AutoResearchClaw

AutoResearchClaw automates research by letting AI agents search, analyze, and synthesize information from multiple sources, then compile structured reports on the results. You give it an idea, it designs experiments, runs them, writes the paper, and iterates on the results. Basically a research assistant that never sleeps.

It's built for academic and ML research specifically, not general-purpose AI automation. The pipeline handles literature review, experiment design, code generation, result analysis, and paper writing in a loop.

The catch: this is bleeding edge. growing fast, but it's a research tool built by a research lab. The output still needs human review; don't submit a paper without reading it. And the quality depends heavily on the underlying LLM you point it at.